SentiFul: Generating a reliable lexicon for sentiment analysis

Alena Neviarouskaya, H. Prendinger, M. Ishizuka
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引用次数: 85

Abstract

The main drawback of any lexicon-based sentiment analysis system is the lack of scalability. Thus, in this paper, we will describe methods to automatically generate and score a new sentiment lexicon, called SentiFul, and expand it through direct synonymy relations and morphologic modifications with known lexical units. We propose to distinguish four types of affixes (used to derive new words) depending on the role they play with regard to sentiment features: propagating, reversing, intensifying, and weakening.
SentiFul:为情感分析生成可靠的词汇
任何基于词典的情感分析系统的主要缺点是缺乏可扩展性。因此,在本文中,我们将描述自动生成和评分一个新的情感词典的方法,称为SentiFul,并通过与已知词汇单位的直接同义词关系和形态修饰来扩展它。我们建议区分四种类型的词缀(用于派生新词),这取决于它们在情感特征方面所起的作用:传播、逆转、强化和减弱。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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